🚀 Distributed Cache System

📖 Overview

Distributed Cache is a scalable caching solution that distributes data across multiple nodes using consistent hashing. It ensures efficient storage, fast retrieval, and fault tolerance, making it ideal for high-performance distributed applications.

✨ Features

• ✅ Consistent Hashing → Efficient load distribution among nodes
• ✅ Pub/Sub Communication → Nodes synchronize using a publish-subscribe system
• ✅ API Support → RESTful API for managing cache operations (GET, SET)
• ✅ Fault-Tolerant & Scalable → Nodes can dynamically join or leave the cache ring

📌 Project Structure

distributed-cache/
│── internal/
│   ├── node/          # Handles individual cache nodes
│   ├── cache/         # Implements caching 
│   ├── communication/ # Manages Pub/Sub messaging
│   ├── consistent/    # Implements consistent hashing
│── api/               # REST API server
│── cmd/               # Entry point for running the application
│── README.md          # Project documentation

🔧 Installation

Prerequisites

✅ Go 1.18+ → Install from golang.org

Steps

git clone https://github.com/its-saeed/distributed-cache.git
cd distributed-cache
go mod tidy
go build -o distributed-cache cmd/main.go

🚀 Running the Project

Start the API server:

./distributed-cache --port=8080

It starts the API server on port 8080. It also starts three caching nodes, node1, node2, and node3, which are responsible for storing and retrieving data.

🔗 API Usage

📥 Set Key

curl -X POST "http://localhost:8080/set?key=foo&value=bar"

Response:

{
    "message": "Value set successfully",
    "key": "foo",
    "node": "node-1"
}

🔎 Get Key

curl -X GET "http://localhost:8080/get?key=foo"

Response:

{
    "key": "foo",
    "value": "bar",
    "node": "node-1"
}

🧪 Running Tests

go test -v ./internal/...